activity
20172026
most citedLearning a time-dependent master saliency map from eye-tracking data in videos

8 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

From Players to Participants: Citizen Science and Video Games to Understand Cognition

Syrine Salouhou, Edgar Dubourg, Maxwell Scott-Slade +2

Citizen science is transforming how cognitive scientists study the human mind, and video games are at the heart of this shift. By embedding experimental tasks into engaging, game-l…

q-bio.NC2026

Human Navigation Behaviour and Brain Dynamics in Real-world Contexts

Pablo Fernandez Velasco, Antoine Coutrot, Hugo J. Spiers

The study of navigation behaviour and the associated brain dynamics have been a focus increasing research over the last decades. Coinciding with this has been an increased focus on…

q-bio.NC2026

Spatial navigation in preclinical Alzheimer's disease: A review

Syrine Salouhou, Victor Gilles, Remi Vallée +6

Alzheimer's disease (AD) develops over a prolonged preclinical phase, during which neuropathological changes accumulate long before cognitive symptoms appear. Identifying cognitive…

cs.LG2020★ 2 cited

Capturing and Explaining Trajectory Singularities using Composite Signal Neural Networks

Hippolyte Dubois, Patrick Le Callet, Michael Hornberger +2

Spatial trajectories are ubiquitous and complex signals. Their analysis is crucial in many research fields, from urban planning to neuroscience. Several approaches have been propos…

cs.CV2017★ 1 cited

Computational Model for Predicting Visual Fixations from Childhood to Adulthood

Olivier Le Meur, Antoine Coutrot, Zhi Liu +3

How people look at visual information reveals fundamental information about themselves, their interests and their state of mind. While previous visual attention models output stati…

cs.CV2017★ 8 cited

Learning a time-dependent master saliency map from eye-tracking data in videos

Antoine Coutrot, Nathalie Guyader

To predict the most salient regions of complex natural scenes, saliency models commonly compute several feature maps (contrast, orientation, motion...) and linearly combine them in…